Senior Data Scientist

Quantiphi

13h•Remote

About The Position

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page

Requirements

8+ years of relevant hands-on technical experience implementing, and developing cloud solutions on AWS.
Strong experience leading predictive analytics initiatives using traditional ML techniques including regression, classification, clustering, and time series forecasting.
Hands-on experience with time series forecasting models including SARIMA, Prophet, and other ML-based forecasting approaches.
Proficiency in Python with experience in libraries such as scikit-learn, XGBoost, Pandas, NumPy.
Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Proven ability to translate complex business problems into scalable ML solutions, driving feature engineering strategies and end-to-end model development.
Hands-on experience on AWS Machine Learning services.
Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
Experience leading model deployment on AWS SageMaker with a strong focus on performance optimization, model governance, and measurable business impact.
Implement and manage MLOps based model lifecycle and best practices for ML architecture in production environments.
Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
Experience in building model monitoring and explainability workflows in production environments.

Nice To Haves

Experience defining and driving model governance frameworks and performance monitoring strategies in production environments.
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
Experience with Generative AI development.
Experience working on Infrastructure as Code (IaC) and CI/CD pipelines

Responsibilities

Lead end-to-end data science initiatives for predictive analytics use cases such as demand forecasting, churn prediction, and risk modeling.
Translate business requirements into ML problem statements and define appropriate modeling approaches.
Design, build, and deploy machine learning models using traditional ML techniques (regression, classification, clustering, time series).
Drive feature engineering, data preparation, and exploratory data analysis to improve model performance.
Develop and manage scalable ML pipelines from data ingestion to model deployment.
Deploy and manage models on AWS using services such as SageMaker.
Ensure model performance through validation, monitoring, and periodic retraining.
Collaborate with data engineering and MLOps teams to productionize ML solutions.
Apply best practices for model governance, explainability, and responsible AI.
Mentor junior data scientists and provide technical leadership while remaining hands-on.
Communicate insights, model outputs, and recommendations effectively to business stakeholders.

Benefits

Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Thank you for your interest in Quantiphi!
We are a team that dreams together and collaborates to ensure success.
We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture.
As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.
If this excites you, explore our current openings and apply to any job roles that suit and interest you.
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business.
We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family.
Our culture is built on transparency, diversity, integrity, learning and growth.
We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.